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setup.py

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@@ -12,7 +12,7 @@
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"pyskiplist",
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"parameterfree",
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],
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extras_require={"dev": ["pytest", "black"]},
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extras_require={"dev": ["pytest", "black==23.10.0"]},
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author="VowpalWabbit",
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description="",
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packages=find_packages(where="src"),

src/learn_to_pick/base.py

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@@ -236,7 +236,7 @@ def score_response(self, inputs: Dict[str, Any], picked: Any, event: TEvent) ->
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Calculate and return the score for the selected response.
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This is an abstract method and should be implemented by subclasses.
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The method defines a blueprint for applying scoring logic based on the provided
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The method defines a blueprint for applying scoring logic based on the provided
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inputs, the selection made by the policy, and additional metadata from the event.
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Args:

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